Machine Learning Attacks-Resistant Security by Mixed-Assembled Layers-Inserted Graphene Physically Unclonable Function > Research Highlights | Intelligent Memory Computing Device Laboratory

Machine Learning Attacks-Resistant Security by Mixed-Assembled Layers-Inserted Graphene Physically Unclonable Function

Author: Subin Lee#, Byung Chul Jang#, Minseo Kim#, Si Heon Lim, Eunbee Ko

Co-author: Hyun Ho Kim*, Hocheon Yoo*

Journal: Advanced Science

Vol: 10

Page: 2302604 (2023) [IF:15.1] [Frontispiece Cover]

Year: 2023

Link: https://onlinelibrary.wiley.com/doi/10.1002/advs.202302604 95회 연결

Subin Lee#, Byung Chul Jang#, Minseo Kim#, Si Heon Lim, Eunbee Ko, Hyun Ho Kim*, and Hocheon Yoo*, "Machine Learning Attacks-Resistant Security by Mixed-Assembled Layers-Inserted Graphene Physically Unclonable Function" Advanced Science 10, 2302604 (2023) [Frontispiece Cover] [IF:15.1]

이전글Realistic Chest X-ray Image Synthesis via Generative Network with Stochastic Memristor Array for Machine Learning-based Medical Diagnosis 24.04.18
다음글Unpredictably Disordered Distribution of Hetero-blended Graphene Oxide Flakes with non-identical Resistance in Physical Unclonable Functions 24.03.25

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Machine Learning Attacks-Resistant Security by Mixed-Assembled Layers-Inserted Graphene Physically Unclonable Function